package com.atguigu.flink.chapter06;

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

/**
 * TODO
 *
 * @author cjp
 * @version 1.0
 * @date 2021/1/22 13:52
 */
public class Flink04_PV {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        // 1.读取数据、转换成 POJO
        SingleOutputStreamOperator<UserBehavior> userBehaviorDS = env
                .readTextFile("input/UserBehavior.csv")
                .map(new MapFunction<String, UserBehavior>() {
                    @Override
                    public UserBehavior map(String value) throws Exception {
                        String[] datas = value.split(",");
                        return new UserBehavior(
                                Long.valueOf(datas[0]),
                                Long.valueOf(datas[1]),
                                Integer.valueOf(datas[2]),
                                datas[3],
                                Long.valueOf(datas[4])
                        );
                    }
                });

        // 2.处理数据
        userBehaviorDS
                .filter(r -> "pv".equals(r.getBehavior()))  // 2.1 过滤出 pv 行为
                .map(new MapFunction<UserBehavior, Tuple2<String, Long>>() {
                    @Override
                    public Tuple2<String, Long> map(UserBehavior value) throws Exception {
                        return Tuple2.of("pv", 1L);
                    }
                })  // 2.2 参考 wordcount思路，转换成 （pv，1）
                .keyBy(r -> r.f0)
                .reduce(new ReduceFunction<Tuple2<String, Long>>() {
                    @Override
                    public Tuple2<String, Long> reduce(Tuple2<String, Long> value1, Tuple2<String, Long> value2) throws Exception {
                        return Tuple2.of(value1.f0, value1.f1 + value2.f1);
                    }
                })
                .print();

        env.execute();
    }
}
